Particle swarm optimization applied to the chess game
João A. Duro, José Valente de Oliveira · 2008
To the best of the authors’ knowledge this paper investigates for the first time the applicability of particle swarm optimization (PSO) to a chess player agent endowing it with learning abilities, i.e. allowing the agent to improve its performance based on its experience.